Comparing two binary diagnostic tests with repeated measurements

被引：1

作者：

Steiner, Stefan H. ^{[1
]}

Danila, Oana ^{[2
]}

Cotton, Cecilia A. ^{[1
]}

Severn, Daniel ^{[1
]}

Mackay, R. Jock ^{[1
]}

机构：

[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada

[2] F Hoffmann La Roche & Co Ltd, CH-4002 Basel, Switzerland

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 2016年 / 65卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Diagnostic tests; Gold standard; Moment estimators; Random effects; Repeated testing; Sensitivity and specificity; MEASUREMENT SYSTEM-ANALYSIS; GOLD STANDARD; LIKELIHOOD RATIOS; ACCURACY; DESIGNS; MODELS;

D O I：

10.1111/rssc.12122

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We compare two binary diagnostic tests when each subject is measured more than once with each test and with a gold standard. We introduce a new model that allows the correlation between two measurements on a single subject by the same test to be different from the correlation between two measurements by different tests. We show that moment estimators of the population parameters for the mean sensitivities and specificities are virtually identical to the maximum likelihood estimates from our random-effects model. We apply the model to data comparing two rapid malaria tests and provide guidance for choosing the number of subjects and repeated measurements.

引用

页码：315 / 329

页数：15

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